Himanshu Arora

2.2k citations
87 papers · 1.5k indexed · h-index 21

Impact in

Papers in

Himanshu Arora

82 papers receiving 1.4k citations

Peers

Himanshu Arora
Comparison fields: 5 of 144
  • Cancer Research 338
  • Reproductive Medicine 154
  • Health Informatics 20
  • Obstetrics and Gynecology 100
  • Molecular Biology 474
Replace Rui Hou with:
Rui Hou China
Mehdi Totonchi Iran
Yi Shi China
Stephen R. Master United States
Isabella Ellinger Austria
Xiaoli Cui China
Qiong Li China
Jeong‐Ah Kim South Korea
Wan Zhu China
Dong Xu China
Himanshu Arora relative to Rui Hou China Rui Hou's profile →
Citations per field
00.5×2.9×
Rui Hou · 1×
Citations per year

Countries citing papers authored by Himanshu Arora

Since Specialization
Citations

This map shows the geographic impact of Himanshu Arora's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Himanshu Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Himanshu Arora more than expected).

Fields of papers citing papers by Himanshu Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Himanshu Arora. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Himanshu Arora. The network helps show where Himanshu Arora may publish in the future.

Co-authors

The 25 scholars most cited alongside Himanshu Arora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Himanshu Arora Line = papers co-authored together Himanshu Arora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 202310
4 20231
5 20223
6 20223
7 20228
8 202168
9
Shape Completion via IMLE
20211
10 20204
11
A review of current advancements and limitations of artificial intelligence in genitourinary cancers.
202015
12 202019
13 20202
14 202021
15 20194
16 20197
17 201621
18 201624
19 201389
20
Efficient Unsupervised Learning for Localization and Detection in Object Categories
200519

About Himanshu Arora

Himanshu Arora is a scholar working on Reproductive Medicine, Health Informatics, Obstetrics and Gynecology, Computer Vision and Pattern Recognition and Endocrine and Autonomic Systems, having authored 87 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (10 papers), Sperm and Testicular Function (7 papers), COVID-19 Impact on Reproduction (6 papers), Reproductive Biology and Fertility (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Regulation of Appetite and Obesity (5 papers) and Hypothalamic control of reproductive hormones (5 papers). The work is most often cited by research in Cancer Research (338 citations), Reproductive Medicine (154 citations), Health Informatics (20 citations), Obstetrics and Gynecology (100 citations) and Molecular Biology (474 citations). Himanshu Arora has collaborated with scholars based in United States, India and Panama. Frequent co-authors include Rehana Qureshi, M. Moshahid A. Rizvi, Ranjith Ramasamy, Woong‐Yang Park, Manish Kuchakulla, Kajal Khodamoradi, Joshua M. Hare, Narendra Ahuja, Patrick D. Wolf and James Morizio. Their work appears in journals such as Fertility and Sterility, Urology, Vaccines, Scientific Reports and Andrology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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